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Comment by n4r9 | Hacker News Reader

As far as I can tell, AI image generation still struggles with some things after many years of research and is often detectable. Perhaps vocals is easier though.

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It's like cgi, you only recognize bad examples of it while the good ones go right past you. I've got plenty of ai generations that fool professional photo retouchers - it just takes more time and some custom tooling.

> I've got plenty of ai generations that fool professional photo retouchers - it just takes more time and some custom tooling.

What’s a good place to find out the SOTA of the custom tooling and workflow?

Comfyui + civitai. 4chan and reddit threads if you want to go deep

> It's like cgi

Right. Full of code injection vulnerabilities.

"many years" lol, midjourney only came out like a year and a half ago and the quality has quadrupled in that time.

Generative text-to-image models based on neural networks have been developing since around 2015. Dall-E was the first to gain widespread attention in 2021. Then later models like Stable Diffusion and Midjourney.

"Quadrupled" is a very specific and quantitative word. What measure are you basing that on?

The recommended resolution went from 512x512 to 1024x1024 in that time span :)

Ah right. But that's only tangentially related to being able to distinguish AI-generated images. There are tells that are completely separate to resolution, such as getting the correct spacing of black keys on a piano.

From audio video editing experience years back, it is much easier to slip some cheap audio cuts past people than visual ones.

This already sounds like something I would have listened to in the 90s, except with too much autotune.

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